IT AI Index
Index › Developer platform › Error monitoring › Small business › September 2026 Edition

Error and crash monitoring for small business buyers

Asked as “error monitoring tool”, and as “application error and crash reporting service”, on behalf of a small B2B company. 42 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing
Sentry
Clear leader
79% of first choices, clear leader.
ShowinginAll 67 categories →

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small businessSentry79%Clear leaderThis pageMid-marketSentry82%Clear leaderStanding →EnterpriseSentry62%Clear leaderStanding →

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Sentry79%9%68endorsed leader
02Honeybadger14%0%42accepted challenger
03GlitchTip5%0%24accepted challenger
04Rollbar2%4%48accepted challenger
Show the six products at 0%, ordered by negative rate
09New Relic0%85%13criticized challenger
10Datadog0%74%19criticized challenger
08LogRocket0%25%12criticized challenger
07Raygun0%20%10accepted challenger
06Airbrake0%12%16accepted challenger
05Bugsnag0%10%42accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Head to head
Sentry vs RollbarSentry vs GlitchTipRollbar vs GlitchTip

One product takes 79% of first choices here, so the chart would put nine markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category. Jump to the standing

02What they warned about

Seven of twelve models held their first choice under the paraphrase. GPT-5.4 mini, Mistral Small, Llama 4 Maverick, Kimi K2 and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Datadog
74%
14 of 19 labels negative · 11 of 12 models · 11 hard negative
“you should avoid or be highly cautious of the following categories ... Enterprise Observability & APM Suites (e.g., Datadog, New Relic, Dynatrace)” Gemini 3.5 Flash, negative prompt
New Relic
85%
11 of 13 labels negative · 10 of 12 models · 5 hard negative
“small businesses should be cautious about or avoid the following error monitoring tools: 1. **New Relic** – Its error monitoring and triaging system is often criticized as not being user-friendly” Mistral Small, negative prompt
Sentry
9%
6 of 68 labels negative · 5 of 12 models · 2 hard negative
“**Why avoid**: Event-based pricing can become expensive quickly once you exceed free tiers” MiniMax M2.5, negative prompt
Bugsnag
10%
4 of 42 labels negative · 4 of 12 models · 1 hard negative
“Tools with Opaque, Sales-Driven Pricing (e.g., Bugsnag, Rollbar)” Gemini 3.5 Flash, negative prompt

03What they cite

Citations exist only for the models that return a source list: twelve of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

63 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 717 links across 149 sites, every framing counted. Ranked by the number of answers carrying the site or page.

scoutapm.com
vendor site · Scout APM34 answers · 38 citations · 10 models
rollbar.com
vendor site · Rollbar28 answers · 45 citations · 9 models
ones.com
vendor site · ONES.com24 answers · 29 citations · 10 models
worldmetrics.org
23 answers · 24 citations · 9 models
observeone.com
23 answers · 23 citations · 10 models
raygun.com
vendor site · Raygun20 answers · 21 citations · 10 models
apistatuscheck.com
18 answers · 18 citations · 7 models
monoscope.tech
17 answers · 17 citations · 9 models
radartrek.com
16 answers · 16 citations · 7 models
guideflow.com
vendor site · Guideflow15 answers · 15 citations · 9 models
dupple.com
13 answers · 14 citations · 7 models
shotmark.dev
12 answers · 12 citations · 8 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

scoutapm.com/blog/best-error-monitoring-tools
32 answers · 9 models
rollbar.com/blog/best-error-monitoring-tools
24 answers · 9 models
observeone.com/best/error-monitoring-tools
23 answers · 10 models
ones.com/blog/error-reporting-software-comparison-8-tools-worth-trying
23 answers · 10 models
worldmetrics.org/best/error-monitoring-software
21 answers · 9 models
raygun.com/blog/best-error-monitoring-tools
19 answers · 10 models
apistatuscheck.com/blog/best-error-tracking-tools-2026
18 answers · 7 models
monoscope.tech/blog/error-monitoring-tools-for-small-businesses-under-budget
16 answers · 9 models
radartrek.com/error-monitoring
16 answers · 7 models
guideflow.com/blog/error-monitoring-software
15 answers · 9 models

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best error monitoring tool for a small B2B company?”Paraphrase“Which application error and crash reporting service would you recommend to a small business that sells to other businesses?”Comparative“What are the top error monitoring tools for a small team and how do they differ?”Budget-constrained“What is the best error monitoring tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an error monitoring tool. What should we look at?”Negative“Which error monitoring tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Sentryagainst: DatadogSentryHeld
Three alternativesBugsnag, Datadog, Rollbar
against: New RelicSentry
Three alternativesBugsnag, Honeybadger, Rollbar
Sentry
One alternativeGlitchTip
no first choicenothing named
GPT-5.4 miniHoneybadger
Two alternativesRollbar, Sentry
SentryChanged
One alternativeBugsnag
against: DatadogSentry
Three alternativesBugsnag, Firebase Crashlytics, Rollbar
Rollbar
One alternativeBugsnag
against: Sentryno first choicenothing named
Gemini 3.5 FlashSentry
Five alternativesGlitchTip, Highlight.io, Honeybadger, LogRocket, Rollbar
SentryHeld
Three alternativesBugsnag, Highlight.io, PostHog
Sentry
Five alternativesBetter Stack, GlitchTip, Highlight.io, Honeybadger, PostHog
GlitchTip
Three alternativesHighlight.io, Honeybadger, Logfire
against: SentrySentry
Three alternativesHighlight.io, Honeybadger, Rollbar
against: Datadog, Dynatrace, Elastic Stackagainst: Bugsnag, Datadog, Dynatrace, FullStory, LogRocket, New Relic, Rollbar, Sentry
Perplexity SonarSentry
Two alternativesBetter Stack, Honeybadger
SentryHeld
Two alternativesFirebase Crashlytics, Honeybadger
Sentry
Four alternativesBugsnag, Honeybadger, LogRocket, Rollbar
against: Datadog, New RelicSentry
Two alternativesGlitchTip, Honeybadger
no first choiceagainst: AppSignal, Datadog
Grok 4.1 FastSentry
Three alternativesBugsnag, Honeybadger, Rollbar
against: Datadog, New RelicSentryHeld
Four alternativesBugsnag, GlitchTip, Honeybadger, Rollbar
Sentry
Four alternativesBugsnag, GlitchTip, Honeybadger, Rollbar
Sentry
Two alternativesFirebase Crashlytics, GlitchTip
Sentry
Three alternativesAirbrake, Bugsnag, Rollbar
against: Bugsnag, Datadog, LogRocket, New Relic
Mistral SmallHoneybadger
Two alternativesAirbrake, Sentry
SentryChanged
Two alternativesBugsnag, Raygun
Sentry
Two alternativesAirbrake, Scout Monitoring
Sentry
Two alternativesGlitchTip, Honeybadger
no first choiceagainst: AppSignal, Datadog, New Relic, Scout APM
DeepSeek V4 FlashSentry
One alternativeRollbar
against: BugsnagSentryHeld
Two alternativesBugsnag, Rollbar
Sentry
Four alternativesBugsnag, GlitchTip, Honeybadger, Rollbar
against: AirbrakeGlitchTip, Sentry
One alternativePostHog
Sentry
Three alternativesBugsnag, Honeybadger, Rollbar
against: AppDynamics, Better Stack, Datadog, Dynatrace, New Relic
Llama 4 MaverickHoneybadgerno first choiceChangedHoneybadger
Three alternativesAirbrake, Rollbar, Sentry
Honeybadger
Two alternativesSentry, ShotMark
no first choicenothing named
Qwen 3.7 FlashSentry
Three alternativesBetter Stack, Honeybadger, Rollbar
SentryHeld
Two alternativesBugsnag, LogRocket
Sentry
Four alternativesAirbrake, Honeybadger, LogRocket, Raygun
Sentry
Four alternativesFirebase Performance Monitoring, Grafana Cloud, New Relic, PostHog
Sentry
Three alternativesBugsnag, Raygun, Rollbar
against: Datadog, FullStory, LogRocket, New Relic, Rollbar, Splunk
Kimi K2Sentry
Two alternativesHoneybadger, Rollbar
HoneybadgerChanged
One alternativeSentry
Honeybadger, Sentry
Two alternativesGlitchTip, Rollbar
against: BugsnagSentry
Two alternativesGlitchTip, Rollbar
Sentry
Two alternativesBugsnag, Rollbar
against: Airbrake, Datadog, New Relic, Raygun, Sentry, Splunk
GLM 4.7 FlashXSentry
Three alternativesBugsnag, Honeybadger, Rollbar
SentryHeld
Four alternativesBugsnag, Honeybadger, Raygun, Rollbar
Sentry
Four alternativesAirbrake, Bugsnag, Raygun, Rollbar
Sentry
Three alternativesBugsnag, Honeybadger, Rollbar
Sentry
Two alternativesBugsnag, Rollbar
against: AppSignal, Datadog, New Relic, Raygun, Scout, Sentry
MiniMax M2.5Sentry
Two alternativesAirbrake, Rollbar
no first choiceChangedRollbar, Sentry
Two alternativesAirbrake, Bugsnag
Honeybadger
Two alternativesGlitchTip, Sentry
Sentry
Two alternativesBugsnag, Rollbar
against: Datadog, New Relic, Scout Monitoring, Sentry
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 12:35no04 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 10:49yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-17 10:56yes820 s
Direct recommendationPerplexity Sonarsonar2026-09-17 11:28yes205 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 14:15yes4620 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-17 14:02yes53 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 09:58yes1015 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 11:12yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 12:15yes1029 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-17 12:40yes1523 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 10:24yes2232 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 10:44yes831 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 12:48no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 13:41yes45 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-17 13:03yes723 s
ParaphrasePerplexity Sonarsonar2026-09-17 12:18yes206 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 10:49yes189 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-17 13:42yes56 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 12:02yes1011 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 14:10yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 13:12no037 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-17 12:27yes2932 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 11:42yes13283 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 13:48yes1060 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 09:30yes1412 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 10:41yes79 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-17 11:13yes921 s
ComparativePerplexity Sonarsonar2026-09-17 13:27yes2010 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 11:36yes3615 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-17 09:38yes56 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 11:45yes2733 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 13:36yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 10:25yes931 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-17 12:30yes1035 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 11:28yes10155 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 11:58yes517 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 10:02no05 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 11:18yes34 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 12:21yes1123 s
Budget constrainedPerplexity Sonarsonar2026-09-17 09:50yes205 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 09:37yes188 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 11:33yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 09:28yes1010 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 14:03yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 12:05no038 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 13:14yes1423 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 11:31yes1479 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 14:03yes524 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 12:31no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 13:54no08 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 10:38yes724 s
Scale constrainedPerplexity Sonarsonar2026-09-17 12:19yes208 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 09:39yes129 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 10:28no04 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 12:55yes814 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 12:26yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 12:17yes544 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 13:28yes1046 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 10:44no043 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 13:58yes528 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 12:06yes1017 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 12:02yes46 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-17 12:12yes1321 s
Negative framingPerplexity Sonarsonar2026-09-17 11:34yes206 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 12:43yes3216 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-17 13:37yes76 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 13:24yes1922 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 09:41yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 10:52yes528 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-17 13:34yes2459 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 12:53yes1489 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 10:10yes1233 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
Errbit
Firebase Performance Monitoring
Instabug
Logfire
Monoscope
Pydantic Logfire
ShotMark
Discontinued, still offered
No shut-down product was recommended here.

Also in developer platform

The other categories of this function, with the leader in each.
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